germany vs japan

8/8/2019 Germany vs Japan

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Indicator 1 Unit Japan Germany year

1For definitions of the indicators please click here .

Land area km 364,500 348,770 2008

GDP, currentprices

bn US$ 5,068.06 3,352.74 2009

GDP per capita,current prices

US$ 39,731.04 40,874.64 2009

GDP (annualchange), constantprices

% -5.20 -4.97 2009

Inflation rate(annual changeof CPI)

% -1.38 0.08 2009

Population 1,000 127,704.0 82,110.1 2008

Population densityinhab. per

km350.35 235.43 2008

Population agedunder 15 years

% 13.44 13.70 2008

Population aged 65years and older

% 21.41 19.97 2008

Fertility rate, totalbirths perwoman

1.34 1.38 2008

Life expectancy atbirth (male)

years 79.3 77.6 2008

Life expectancy atyears 86.0 82.7 2008


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birth (female)

Hospital bedsper10,000 inhab.

141 83 2006

Practisingphysicians

per10,000 inhab.

21 34 2006

Public expenditureon education

% of GDP 3.50 4.40 2006

Pupil-teacher ratio(secondary)

pupils perteacher

12 13 2007

Pupil-teacher ratio(primary)

pupils perteacher

18 14 2007

Labor forceparticipation rate

% 60.50 59.80 2008

Unemployment rate % 3.85 8.69 2007

Average labourcosts inmanufacturing

US$ perhour

23.95 50.73 2007

GNI, Atlas methodUS$ percaptita

38,130 42,710 2008

Household

consumption exp. onfood

% oftotal exp. 14.27 10.78 2006

Householdconsumption exp. onhousing

% oftotal exp.

24.45 23.84 2006


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Gross value added,Agriculture

% of GDP 1.43 0.88 2008

Gross value added,Industry

% of GDP 28.83 30.16 2008

Gross value added,Services

% of GDP 69.74 68.97 2008

Industrialproduction -Manufacturing index

2005 = 100 103.80 113.50 2008

Production ofpassenger cars

1,000 9,915.60 5,541.60 2008

Agricultural land% of landarea

12.76 48.60 2007

Import of goods,total

bn US$ 762.5 1,204.2 2008

Export of goods,total

bn US$ 781.4 1,466.1 2008

Import of goodsfrom Germany

mn US$ 20,852.1

Export of goods toGermany

mn US$ 23,955.5

Passenger carsper1,000 inhab.

324.6 566.1

Pump price forgasoline (petrol)

US$ perlitre

1.74 1.56


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CO2 emissions t per capita 9.63 9.51

Share of non-fossilenergy production

% of totalenergy use

15.33 12.79

Research anddevelopmentexpenditure

% of GDP 3.45 2.55

Internet usersper100 inhab.

75.16 75.48

Resident patentapplications

Per mninhab.

581.67

hy does Germany have so high unemployment rate?

Regional breakdown

2009 average

Gross monthly earnings 1) of full-time employees

total male female

EUR

1) Excl. extra payments.

Baden-W rttemberg

3,293 3,525 2,713

Bayern 3,253 3,448 2,754

Berlin 3,117 3,323 2,830

Brandenburg 2,617 2,635 2,587

Bremen 3,284 3,478 2,779

Hamburg 3,513 3,740 3,044

Hessen 3,506 3,705 3,042

Mecklenburg-Vorpommern

2,449 2,515 2,344

Niedersachsen 3,040 3,189 2,635

Nordrhein-Westfalen

3,267 3,438 2,838

Rheinland-Pfalz 3,151 3,306 2,750


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Regional breakdown

2009 average

Gross monthly earnings 1) of full-time employees

total male female

EUR

Saarland 2,983 3,119 2,614

Sachsen 2,489 2,527 2,420

Sachsen-Anhalt 2,477 2,476 2,479

Schleswig-Holstein 2,951 3,126 2,563

Th ringen 2,388 2,436 2,306

Deutschland 3,141 3,320 2,72

Regional breakdown

Physicians 1) Dentists 1) HospitalsSet-up

beds

number

Year/month/referenceday

31 December 2008

1) Data of the respective association, Status:12.01.2010.

Nordrhein-Westfalen 68,639 13,251 418 122,803

Bayern 51,775 10,521 379 75,499

Baden-W rttemberg 41,223 8,265 297 59,224

Niedersachsen 27,227 6,213 196 41,905

Berlin 17,393 3,849 74 19,407

Rheinland-Pfalz 15,233 2,704 98 25,588

Sachsen 14,564 3,797 80 26,316

Schleswig-Holstein 10,944 2,248 96 15,624

Hamburg 10,198 1,859 46 11,426

Brandenburg 8,291 1,879 50 15,242

Sachsen-Anhalt 8,090 1,973 50 16,622

Th ringen 8,038 2,043 43 15,954


6,361 1,459 36 10,525

Saarland 4,255 658 25 6,671

Bremen 3,401 515 14 5,336

Germany 319,697 66,318 2,083 503,36


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Regional breakdown

Persons engaged in economic activity 1) by economicsectors 2)

Agriculture,forestry and

fisheries

Production

industries

Distributivetrade, hotel

and restaurantindustry,transport

Other

services

1,000

2008

1) Results of the microcensus / yearly average

2) Classifica tion of Economic Activities, Edition 2003 (WZ 2003)

Baden-W rttemberg 103 2,011 1,082 2,177

Bayern 192 2,039 1,386 2,683

Berlin 9 254 347 903

Brandenburg 46 316 285 582

Bremen / 70 79 136

Hamburg 8 154 254 446

Hessen 47 759 690 1,376


32 183 198 363

Niedersachsen 108 1,020 876 1,600

Nordrhein-Westfalen 121 2,398 1,881 3,694

Rheinland-Pfalz 48 572 449 853

Saarland / 126 107 218

Sachsen 44 609 428 857

Sachsen-Anhalt 34 316 254 486

Schleswig-Holstein 44 298 345 646

Th ringen 31 367 235 456

Germany 873 11,492 8,895 17,474


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Top 10 Natural Disasters Reported

ffected People

Disaster Date Affected (no. of people) Flood 2002 330,108 Flood 1993 100,000 Flood 1999 100,000 Storm 1995 30,000 Flood 1997 5,200 Earthquake* 1992 1,525 Flood 2006 1,000 Epidemic 2002 600 Flood 2005 450

Storm 2006 200

illed People

Disaster Date Killed (no. of people) Extreme temp. 2003 9,355

Extreme temp. 1997 30

Flood 2002 27

Storm 1990 24

Storm 1990 15

Storm 1999 15

Storm 2002 11

Storm 2007 11

Storm 1990 10

Storm 2003 10

conomic Damages

Disaster Date Flood 2002 Storm 2007

Storm 2002 Extreme temp. 2003 Storm 1999 Storm 1990 Storm 1990 Storm 1990 Storm 2008


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Storm 1994


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Hous eholds affecte d

Per sons affecte d

Damage t o per sons

Damage t o buildin gs (uni ts)

Damageto cultivated land

(ha)

R oads destr oyed or damaged (places)

La ndslides (places)

K illed or missin g

Inju red R uin ed or swept a way

Half-r uin ed

Inund ated Sweptaway,

bur ied or water-covered

1 ) Over f loo r Under f loo r

Paddyf ields

Other

J apa n 5,379 10,107 49 851 55 201 5,11030,54

01,7

59

1,01

5

1,50

983

2

Hokk aido 89 169 - 2 - - 89 112 1411

1 18 23

A omor i 4 107 - 96 1 2 1 11 - - 1 3

Iwate 78 201 2 129 2 4 4 21 - -29

5 6

M iyag i 171 956 19 406 28 141 1 83 136 9124

8 15

A kita 3 37 - 31 - 1 2 20 - - 9 15Y amagata 4 15 - 4 - - 4 90 - - 4 9F ukus him

a 19

48 2 5 - - 17 280 - - - -

Ibara ki 68 215 - 10 - - 68 2901,2

0981

0 - 14

ochigi 25 71 1 15 - 7 43 340 - -34

4 95

G umma 35 59 1 1 - 2 11 198 - - - 1

Saitama 98 247 - 6 - - 155 2,366 103 1 - -C hi ba 15 8 609 - 30 - - 158 953 - - 63 12

ok yo 61 146 7 16 1 2 58 69 - - 11 31Kanagawa 43 119 - 19 - 4 33 186 - - 80 59 N iigata 26 101 - 16 - 2 24 178 - - 2 27

oyama 127 331 3 18 5 9 137 606 - - 6 12

Ishik awa 522 1,553 - - 2 9 511 1,564 - -10

1 45

F ukui 1 18 1 13 - - 1 5 - - - -Y ama nashi - - - - - - - 4 - - - - N aga no 3 10 - 1 - - 2 95 - - 6 19G if u 75 221 - - - 2 73 382 - - 2 45

Shizuok a 60 174 - 8 - 2 58 349 - - 1 5

A ichi 2, 9 78 2,982 2 2 6 2 2,97014,84

7 - - 1 -

M ie 6 8 - 1 - 1 4 65 - - 7 14

Shiga 11 27 - 2 - - 11 268 - - 1 7

Kyoto 29 52 - - - - 29 758 295 -13

1 29

Osak a 312 741 - 1 - - 312 2,891 - - 6 6


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N umber of accidents

Per sons killed Per sons inju red Per 10 thous and motor vehicles, etc.

Per 100 thous and po pulation 1 )

Per sons killed Per sons inju red

Per sons killed

Per sons inju red

766,147 5,155 945,504 0.6 104.1 4.0 740.5

21,091 228 25,801 0.6 64.6 4.1 466.1

6,404 62 7,962 0.6 71.1 4.5 572.0

4,458 69 5,553 0.6 48.2 5.1 410.7

10,947 95 13,759 0.5 77.1 4.1 588.03,928 61 4,824 0.7 51.9 5.5 435.4

7,832 48 9,915 0.5 94.5 4.0 834.6

11,717 113 14,659 0.6 82.9 5.5 714.4

18,225 210 23,508 0.8 86.8 7.1 793.1

11,637 129 14,986 0.7 80.9 6.4 745.2

20,315 95 25,614 0.5 134.0 4.7 1,273.1

40,890 232 49,774 0.5 112.6 3.3 699.8

27,586 213 34,076 0.5 87.1 3.5 556.6

61,525 218 69,666 0.4 131.1 1.7 542.7

44,876 189 53,235 0.4 112.0 2.1 597.0

11,749 124 14,629 0.6 70.1 5.2 611.8

6,233 58 7,211 0.6 76.1 5.3 655.0

6,769 56 8,287 0.6 89.1 4.8 709.5

4,012 55 4,904 0.8 70.0 6.8 603.9

6,477 50 8,506 0.6 101.3 5.7 976.6

11,898 118 15,082 0.6 71.9 5.4 694.7

12,138 141 16,516 0.8 92.3 6.7 786.5

36,748 210 47,161 0.7 147.2 5.5 1,241.1

52,719 276 64,657 0.5 119.8 3.7 873.4

11,886 110 15,608 0.7 93.7 5.9 832.4

9,027 79 11,666 0.7 102.5 5.6 832.115,517 102 18,565 0.6 106.7 3.9 706.2

53,769 198 64,290 0.4 139.1 2.2 730.1

37,139 199 45,342 0.6 127.1 3.6 811.7

6,836 48 8,801 0.5 86.7 3.4 626.9

7,270 63 8,843 0.7 92.8 6.2 873.8

2,138 30 2,733 0.6 54.0 5.0 459.3

2,199 42 2,492 0.7 40.9 5.8 343.7


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17,833 114 22,412 0.7 129.7 5.9 1,150.5

17,705 128 22,194 0.6 100.0 4.5 773.6

8,118 91 9,956 0.8 82.9 6.2 680.5

5,760 42 7,041 0.6 100.8 5.3 886.8

11,794 61 14,666 0.7 163.2 6.1 1,462.2

9,179 82 11,095 0.7 89.8 5.7 768.4

4,005 57 4,579 0.8 66.9 7.4 592.4

44,353 197 57,363 0.5 159.1 3.9 1,135.0

8,740 68 11,706 0.9 158.4 7.9 1,367.5

7,370 40 9,596 0.4 87.9 2.8 666.4

11,522 98 14,663 0.6 95.1 5.4 805.2

6,977 77 9,153 0.7 88.6 6.4 762.8

9,384 48 11,607 0.5 112.2 4.2 1,021.7

10,943 88 13,184 0.6 85.1 5.1 767.9

6,50 9 43 7,664 0.4 70.2 3.1 557.0

Synthet ic ind ex Rate of increa se over prece din g year (% ) 2004 2005 2006 20

07 2004 2005 2

0

0

6

2007

98. 1 9 7 .8 98. 5 98

. 1 0. 0 - 0 . 3

0.

3 0. 0

106 . 2 10 8. 3 110 . 1

2)112 .

5 1. 7 2 . 0

1.

7 ...

Pu blic li brar ies Titles of books pr oduction M ovie Hous eholds holdin g TV


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rime rates

Japan [33][45][56] 0.50 0.53 0.59 0.64 0.44 0.44

Germany (excludingattempts)

[33][34][45][46][75] 1.25 1.14 1.17 1.06 1.06 1.06 0.98 0.92 0.88 0.86 0.86

Verdienst & Gehalt Tabelle

Bundesland Einkommen min. Einkommen max. Lohn Gehlter

B randenburg 17.640 17.640 17.640 1

B erlin 24.960 24.960 24.960 1

B aden-Wrttemberg 18.000 33.600 23.777 5

B ayern 18.240 28.800 23.572 6

Hessen 8.808 60.000 30.270 4

Hamburg 12.000 12.000 12.000 1

Mecklenburg-Vorpommern 6.936 6.936 6.936 1

Niedersachsen 7.368 26.400 19.248 3

Nordrhein-Westfalen 4.644 36.000 23.566 13

Rheinland-Pfalz 15.600 30.000 23.246 6

1999 2005 ,06 15 )

C irculation

Per 1 ,000 inhab. Y ear

N umber of li brar ies

Volume of li brary c ollection

Y ear

(1 ,000 ) (1 ,000 )

N umber of theatre s

F requency of entr ies per per son

Total

Holdingrat io

(1 ,000 )

70,446 551 . 2 1999 3)2,5 8 5 ...19

96 7) 8 )56,221 2,221 1 . 14

16)48 ,00

0 16) 99

.8

22,100 267 . 5 1998 12,134 113,257 19

98 78 ,042 4,712 1 .8 1 37,1

8 0 9 4. 4


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S aa

a d 24.000 31.200 27.600 2

S a

s 9.912 14.280 12.096 2

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germany vs japan

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